Data Virtualization

Showing 21 - 30 of 207 pages tagged with: Data Virtualization

Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration

Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.Watch on-demand this webinar to learn:...

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Myth Busters V: My ETL Tools Do Everything That I Need. Why Do I Need Data Virtualization?

So your data architecture keeps getting more and more complex - new data sources, new data types and formats, and ever-increasing demands from the users for more, better, and faster data. You're struggling to keep up and your users are getting more and more vocal about the amount of time it takes to get their data. But you have faith in your ETL tools. They've solved the problem in the past and you're sure that they can do the same now…or can they?ETL tools - or even the ELT variants - have their use and purpose. We're not going to argue that.However, they are not the solution to all of your...

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Advanced Analytics and Machine Learning with Data Virtualization (Australia)

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Even with a wide array of tools and technologies at their disposal, data scientists are still spending most of the time massaging and manipulating the data into a usable data asset.Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch on-demand this session to learn how companies can use data virtualization to:Create a logical architecture to make all enterprise data available for advanced analytics...

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Data Virtualization: Fulfilling the Digital Transformation Requirement (Indonesia)

Data is at the center of banking and financial organisations’ digital transformation initiatives, but caution needs to be taken to ensure customers’ data rights, privacy and security are top priorities, especially with initiatives like Open Banking and shifts to Cloud environments. So, enterprise architecture (EA) and technology innovation leaders need to refocus on data management and information architecture, making it central to all digitalization initiatives.In this webinar, we will discuss how data virtualization can update and modernize data architectures in the digital transformation...

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Delivering Faster Insights: The Hybrid Cloud Data Warehouse (APAC)

The adoption of cloud data warehousing is no longer seen as teetering on the bleeding edge of technology; a growing number of organizations are already using a cloud data warehouse or cloud data lake to support enterprise business intelligence, reporting, and dashboards. Businesses that migrate to the cloud still face challenges that complicate their ability to leverage cloud-based resources. Although conventional wisdom promotes the cost-effectiveness of the cloud, ungoverned operations allow data storage, egress, and computing resource costs to spiral out of control. Cost management is a...

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Logical Data Fabric for Building a Unified Data Warehouse and Data Lake

Why a logical data fabric is the cornerstone to Building a Unified Data Warehouse and Data Lake

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Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtualization (South Africa)

The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs for the personal data they gather and prove their compliance with the principles established by the regulation.The regulation is already creating many challenges for companies, including:

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Data Virtualization: The Best Accessory for the Smoothest Data-Driven Journey (A/NZ)

Presented at Chief Data Officer Live (A/NZ)The journey to becoming a data-driven organisation is a rough one. There are just too many bumps on the way, in the form of a complex and distributed data ecosystem, compliance with local and international data privacy laws, and constantly changing market requirements needing faster data. Data Virtualization is a modern data integration technology that acts like an active suspension helping organisations smoothly transform into data-driven ones.Watch on-demand this session to learn what is data virtualization and how it:Delivers data in real-time,...

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Bringing a Real-Time Flavor to Your Enterprise Analytics (APAC)

Real-time analytics techniques promise to enrich your traditional analytics with real-time data points. It's key for many scenarios like supply chain management or customer care. Data Virtualization is well known for offering real-time connectivity to diverse sources and federation capabilities: the two base ingredients for real-time analytics. However, building a strategy around these concepts can be challenging. Impacting delicate data sources, security, and performance concerns are often mentioned.Attend this session to learn more about:What are the scenarios where the value of real-time...

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How to fulfill the Digital Transformation Requirement in Banking

Panelist: Chester Enslin, Head: Enterprise Integration and Software Quality Assurance, Johannesburg Stock Exchange, Srinivas Gangavarapu, Tech Lead - Data Engineering, ABSA, and Kevin McKerr Sales Lead BITanium; Moderated by: Stuart Simmons, Alliance & Channels Director, Northern Europe, Denodo

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